What you would learn in Deep Learning for Computer Vision course?
Computer vision is a field of deep learning that is devoted to the interpretation and understanding of images. It helps computers learn to "see" and to use visual information to accomplish tasks using visuals.
Computer vision algorithms are developed to translate visual information using features and context information gathered during training. The models can discern images and apply their interpretations to decision-making or predictive tasks.
Image processing is altering or enhancing images to achieve an entirely new outcome, and it may include enhancing contrast or brightness, increasing quality, blurring delicate data, or cropping. The main difference between computer vision and image processing is the latter does not require recognition of content.
Deep Learning is part of a broader class of machine learning techniques based on the artificial neural network.
Deep-learning structures like deep neural networks and recurrent neural networks convolutional neural networks have been utilized in areas such as speech recognition, computer vision, natural language processing bioinformatics and machine translation, medical image analysis materials inspection, and board game software which have yielded positive results.
Artificial neural networks (ANNs) were influenced by the process of information processing and the distributed nodes within biological systems. The ANNs differ in many ways from brains that are biological.
Keras is among the best widely used deep-learning frameworks. Keras is based on best practices to reduce cognitive load. It provides APIs, reduces the number of user actions needed for typical use cases, and also offers clear and specific error messages that can be used.
The topics covered are the following in the course
The introduction to Deep Learning
Artificial Neural Networks (ANN)
Functions for activation
Loss functions
Gradient Descent
Optimizer
Image Processing
Gradients as well as Back Propagation Mathematics
Gradient Descent
Mathematics
Image Processing/CV Advanced
Image Data Generator
Image Data Generator Data Augmentation
VGG16 - Pre-trained Network
VGG16 with code enhancements
Functional API
Image Segmentation
Pooling
ResNet Model
Resnet overview
Resnet Concept model
Resnet demo
Xception
Course Content:
- Essential as well as Advanced Computer Vision
- Artificial Neural Network
- Keras Tools, Keras API Support
- Image Processing, CNN
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